Dominant height projection model with the addition of environmental variables

Antonio Carlos   Ferraz Filho; José Roberto   Soares Scolforo; Maria   Zélia Ferreira; Romualdo   Maestri; Adriana Leandra de   Assis; Antônio   Donizette de Oliveira; José Márcio    de Mello

Dominant height projection model with the addition of environmental variables

Autores

Antonio Carlos Ferraz Filho

José Roberto Soares Scolforo

Maria Zélia Ferreira

Romualdo Maestri

Adriana Leandra de Assis

Antônio Donizette de Oliveira

José Márcio de Mello

Editor

Universidade Federal de Lavras

Descripción

This study investigated the behavior of climatic variables inserted as inclination modifi ers of the Chapman-Richards model for estimating dominant height. Thus, 1507 data pairs from a Continuous Forestry Inventory of clonal eucalyptus stands were used. The stands are located in the States of Espírito Santo and southern Bahia. The climatic variables were inserted in thedominant height model because the model is a key variable in the whole prognosis system. The models were adjusted using 1360 data pairs, where the rest of the data was reserved for model validation. The climatic variables were selected by using the Backward model construction method. The climatic variables indicated by the Backward method and inserted in the model were: mean monthly precipitation and solar radiation. The inclusion of climatic variables in the model resulted in a precision gain of 19.8% for dominant height projection values when compared with the conventional model. The advantage of the method used in this study is the actualization of inventory data contemplating climatic history and productivity estimates in areas without prior plantation.